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NeuroRule: A Connectionist Approach to Data Mining
One of the major reasons cited is that knowledge generated by neural networks is not explicitly represented in the form of rules suitable for verification or interpretation by humans.
Gene selection for cancer classification using a hybrid of univariate and multivariate feature selection methods
Various approaches to gene selection for cancer classification based on microarray data can be found in the literature and they may be grouped into two categories: univariate methods and multivariate methods.
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